GCC Code Coverage Report
Directory: ./ Exec Total Coverage
File: bindings/python/crocoddyl/multibody/residuals/state.cpp Lines: 26 28 92.9 %
Date: 2024-02-13 11:12:33 Branches: 24 48 50.0 %

Line Branch Exec Source
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///////////////////////////////////////////////////////////////////////////////
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// BSD 3-Clause License
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//
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// Copyright (C) 2021-2023, University of Edinburgh, Heriot-Watt University
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// Copyright note valid unless otherwise stated in individual files.
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// All rights reserved.
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///////////////////////////////////////////////////////////////////////////////
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#include "crocoddyl/multibody/residuals/state.hpp"
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#include "python/crocoddyl/multibody/multibody.hpp"
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#include "python/crocoddyl/utils/copyable.hpp"
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namespace crocoddyl {
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namespace python {
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void exposeResidualState() {
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  bp::register_ptr_to_python<boost::shared_ptr<ResidualModelState> >();
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  bp::class_<ResidualModelState, bp::bases<ResidualModelAbstract> >(
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      "ResidualModelState",
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      "This cost function defines a residual vector as r = x - xref, with x "
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      "and xref as the current and reference\n"
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      "state, respectively.",
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      bp::init<boost::shared_ptr<StateAbstract>, Eigen::VectorXd, std::size_t>(
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          bp::args("self", "state", "xref", "nu"),
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          "Initialize the state cost model.\n\n"
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          ":param state: state description\n"
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          ":param xref: reference state (default state.zero())\n"
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          ":param nu: dimension of control vector"))
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      .def(bp::init<boost::shared_ptr<StateAbstract>, Eigen::VectorXd>(
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          bp::args("self", "state", "xref"),
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          "Initialize the state cost model.\n\n"
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          "The default nu value is obtained from state.nv.\n"
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          ":param state: state description\n"
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          ":param xref: reference state"))
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      .def(bp::init<boost::shared_ptr<StateAbstract>, std::size_t>(
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          bp::args("self", "state", "nu"),
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          "Initialize the state cost model.\n\n"
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          "The default reference state is obtained from state.zero().\n"
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          ":param state: state description\n"
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          ":param nu: dimension of control vector"))
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      .def(bp::init<boost::shared_ptr<StateAbstract> >(
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          bp::args("self", "state"),
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          "Initialize the state cost model.\n\n"
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          "The default reference state is obtained from state.zero(), and nu "
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          "from state.nv.\n"
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          ":param state: state description"))
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      .def<void (ResidualModelState::*)(
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          const boost::shared_ptr<ResidualDataAbstract>&,
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          const Eigen::Ref<const Eigen::VectorXd>&,
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          const Eigen::Ref<const Eigen::VectorXd>&)>(
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          "calc", &ResidualModelState::calc, bp::args("self", "data", "x", "u"),
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          "Compute the state cost.\n\n"
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          ":param data: cost data\n"
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          ":param x: state point (dim. state.nx)\n"
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          ":param u: control input (dim. nu)")
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      .def<void (ResidualModelState::*)(
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          const boost::shared_ptr<ResidualDataAbstract>&,
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          const Eigen::Ref<const Eigen::VectorXd>&)>(
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          "calc", &ResidualModelAbstract::calc, bp::args("self", "data", "x"))
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      .def<void (ResidualModelState::*)(
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          const boost::shared_ptr<ResidualDataAbstract>&,
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          const Eigen::Ref<const Eigen::VectorXd>&,
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          const Eigen::Ref<const Eigen::VectorXd>&)>(
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          "calcDiff", &ResidualModelState::calcDiff,
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          bp::args("self", "data", "x", "u"),
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          "Compute the derivatives of the state cost.\n\n"
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          "It assumes that calc has been run first.\n"
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          ":param data: action data\n"
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          ":param x: state point (dim. state.nx)\n"
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          ":param u: control input (dim. nu)")
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      .def<void (ResidualModelState::*)(
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          const boost::shared_ptr<ResidualDataAbstract>&,
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          const Eigen::Ref<const Eigen::VectorXd>&)>(
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          "calcDiff", &ResidualModelAbstract::calcDiff,
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          bp::args("self", "data", "x"))
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      .def("createData", &ResidualModelState::createData,
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           bp::with_custodian_and_ward_postcall<0, 2>(),
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           bp::args("self", "data"),
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           "Create the stae residual data.\n\n"
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           "Each residual model has its own data that needs to be allocated. "
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           "This function\n"
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           "returns the allocated data for the control residual.\n"
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           ":param data: shared data\n"
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           ":return residual data.")
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      .add_property("reference",
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                    bp::make_function(&ResidualModelState::get_reference,
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                                      bp::return_internal_reference<>()),
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                    &ResidualModelState::set_reference, "reference state")
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      .def(CopyableVisitor<ResidualModelState>());
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}
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}  // namespace python
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}  // namespace crocoddyl